In this very practical article, the authors describe the steps they took to analyze qualitative data from written records that nursing students kept about their experiences with finding information in the CINAHL database. They point out that, although the ideal way to gather data about student information seeking behavior would be via direct observation, that approach is not always practical. Also, self-reporting via surveys and interviews may create bias because members of sample populations might “censor themselves instead of admitting an information need.” For this study, students were asked to document their search process using an electronic template that included “prompts such as resource consulted, reason for choice, terms searched, outcome, comments, and sources consulted (people).”
After reviewing these searching journals, the authors followed up with interviews.
The “Data analysis and interpretation” section of this article provides a clear, concise description of the grounded theory approach to analyzing qualitative data using initial, focused, and theoretical coding using the nVivo 8 software. [Note, as of this writing, the latest version is nVivo 10]
The authors reviewed the coding in follow-up interviews with participants to check the credibility of their findings: “The central theme that united all categories and explained most of the variation among the data was ‘discovering vocabulary.’” They recommend “teaching strategies to identify possible words and phrases to use” when searching for information.